{"id":"W3216456716","doi":"10.1109/pn52152.2021.9597939","title":"Visualization of Potato Starch Chirality with Polarization Second Harmonic Generation Microscopy","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Second-harmonic generation; Microscopy; Polarization (electrochemistry); Chirality (physics); Visualization; High harmonic generation; Starch; Optical microscope; Materials science; Optics; Analytical Chemistry (journal); Physics; Chemistry; Computer science; Physical chemistry; Chromatography; Biochemistry; Scanning electron microscope; Artificial intelligence; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001935888,0.0002561075,0.0001321851,0.0004166838,0.0002579329,0.0003751765,0.0002030354,0.0003028905,0.001744632],"category_scores_gemma":[0.0001910746,0.000193898,0.0001555072,0.000368058,0.0002631957,0.0002424602,0.0003786424,0.0007118182,0.0006576371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003064367,"about_ca_system_score_gemma":0.0002204983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000680748,"about_ca_topic_score_gemma":0.001133766,"domain_scores_codex":[0.999902,0.00001825159,0.000004930337,0.00002516553,0.00002953718,0.00002010311],"domain_scores_gemma":[0.9998597,0.00003721363,0.00002181461,0.0000233449,0.0000373032,0.00002055839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001811353,0.00000358865,0.0001025631,0.00001688317,0.000001619481,0.0000353982,0.00001056845,0.00004367782,0.9980769,0.0002461783,0.0001008498,0.001343702],"study_design_scores_gemma":[0.000008579438,0.00003799796,0.003689021,0.000007912634,0.000005260515,0.000367758,0.00004590896,0.002364251,0.9887452,0.0003348567,0.004385534,0.000007708711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8502351,0.00147476,0.1314564,0.0006651221,0.00007575275,0.00007200926,0.001215857,0.001099931,0.01370517],"genre_scores_gemma":[0.8593723,0.002033864,0.1270036,0.0001651168,0.00002756533,0.0001454909,0.001212055,0.0003186493,0.009721363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001744632,"threshold_uncertainty_score":0.005836368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175922760056508,"score_gpt":0.3034753296540433,"score_spread":0.2917161020534782,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}